In this post, we will learn about Video Classification. We will go over a number of approaches to make a video classifier for Human Activity Recognition. Basically, you will learn video classification ...
In our recent post about receptive field computation, we examined the concept of receptive fields using PyTorch. We learned receptive field is the proper tool to understand what the network 'sees' ...
In this tutorial, we will discuss an interesting application of Deep Learning applied to faces. We will estimate the age and figure out the gender of the person from a single image. The model is ...
A few weeks back we wrote a post on Object detection using YOLOv3. In this post we will discuss Mask RCNN in OpenCV. The output of an object detector is an array of bounding boxes around ...
Sometimes technology enhances art. Sometimes it vandalizes art. Colorizing black and white films is a very old idea dating back to 1902. For decades many movie creators opposed the idea of ...
In this post, we will learn about a Deep Learning based object tracking algorithm called GOTURN. The original implementation of GOTURN is in Caffe, but it has been ported to the OpenCV Tracking API ...
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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
